{"id":"W4401691890","doi":"10.1109/mcas.2024.3358277","title":"AiCare: An Affordable, Reliable, and Intelligent Senior Care Ecosystem [Innovations Corner]","year":2024,"lang":"en","type":"article","venue":"IEEE Circuits and Systems Magazine","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ecosystem; Computer science; Environmental resource management; Engineering; Systems engineering; Environmental science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007089947,0.0003564353,0.0005333591,0.0004312289,0.0002713827,0.001748428,0.0004041872,0.0001745697,0.000009603679],"category_scores_gemma":[0.00002750047,0.0003186418,0.00007013896,0.0009423796,0.00005133032,0.001294537,0.0001191705,0.0002680015,0.0001709254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001442871,"about_ca_system_score_gemma":0.0001636934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000166219,"about_ca_topic_score_gemma":0.0002812379,"domain_scores_codex":[0.9972513,0.0001540435,0.0007254215,0.001003124,0.000429692,0.0004363598],"domain_scores_gemma":[0.9981239,0.0001854356,0.0001585678,0.0007414122,0.0005016783,0.0002889486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001964183,0.0003155961,0.007510943,0.01209823,0.0006669388,0.0009423254,0.02316326,0.0006254396,0.02265313,0.09531375,0.0331692,0.8035215],"study_design_scores_gemma":[0.001553676,0.0009693515,0.003692429,0.00452971,0.000177408,0.005339836,0.005511987,0.3443822,0.001697054,0.0006906981,0.6288894,0.002566166],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3682781,0.02817394,0.56676,0.0008472844,0.01652338,0.003343449,0.0005030125,0.002453114,0.01311768],"genre_scores_gemma":[0.9971945,0.0001209423,0.0001124083,0.00007947379,0.0004844859,0.0001533425,0.00003076601,0.0000440126,0.001780112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8009554,"threshold_uncertainty_score":0.9999266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121719801690478,"score_gpt":0.2623599697803782,"score_spread":0.2311427717634734,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}